Moose

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Pascal Lupien | Morale : 75 | Team Overall : 61
Next Games #2 vs Bruins

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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
Scratches
1Colton DachX100.008950766690848265676463626564666875650
2Luca Del Bel BelluzX100.006337956874848766706764626864657375650
3Dalibor DvorskyX100.006939886779858668736165646961638675640
4Jacob Quillan (R)X100.007139856478808561656260686364664375630
5Logan MorrisonX100.006138876570858662676463616564664375630
6Adam SykoraX100.006837916271828759615865635962646875620
7Graeme ClarkeXX100.006039816469948463586261606365676275620
8Aydar Suniev (R)X100.006838936280788459535860566163646675610
9Brayden Yager (R)X100.005736955968798758605755625961638475600
10Jared DavidsonX100.006739736069818558615760576264665675600
11Ben KingX100.007443735683717554615557585464665975590
12Tanner Howe (R)X100.006143626068776958635961576261637475590
13Colby Barlow (R)X100.006337925872757156515355525861638375580
14Kenta Isogai (R)X100.005936955669687054525355575662644475580
15Zac FunkX100.006741735676796354585553575263654475580
16Rasmus Kumpulainen (R)X100.007039845579697854585352565461637175580
17Fabian Wagner (R)XX100.005536935664717454515355525662644975570
18Henry ThrunX100.007243826683848264306856695165675975640
19Atro Leppanen (R)X100.006238836471788063306658625368703675630
20Dmitri Simashev (R)X100.007342756686838563306556624961638875630
21Scott MorrowX100.006943726682858465306857615364667375630
22Theo Lindstein (R)X100.006437906474818963306162605261627975620
23Christian KyrouX100.005736946466707759306256554863657175600
TEAM AVERAGE100.00663984627579806053605960586365647561
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
Scratches
1Hampton Slukynsky (R)100.00787168737776787776787761656075660
2Aleksei Kolosov100.00758581767473757473757464716375640
3Cameron Whitehead (R)100.00647470776362646362646365695775580
TEAM AVERAGE100.0072777375717072717072716368607563
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ryan Mougenel66757369777276CAN5031,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam SykoraLW232004-09-07No193 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Aleksei KolosovG252002-01-04No185 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Atro LeppanenD291998-12-14Yes183 Lbs6 ft0NoNoNo3UFAPro & Farm925,000$0$0$NoLink / NHL Link
Aydar SunievLW232004-11-16Yes198 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ben KingC252002-05-15No200 Lbs6 ft3NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Brayden YagerC222005-01-03Yes180 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cameron WhiteheadG242003-06-13Yes170 Lbs6 ft3NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Christian KyrouD242003-09-16No166 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Colby BarlowRW222005-02-14Yes190 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Colton DachLW242003-01-04No218 Lbs6 ft4NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Dalibor DvorskyC222005-06-15No207 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Dmitri SimashevD222005-02-04Yes198 Lbs6 ft4NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Fabian WagnerC/RW232004-05-07Yes170 Lbs5 ft10NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Graeme ClarkeC/RW262001-04-24No175 Lbs6 ft0NoNoNo1RFAPro & Farm960,000$0$0$NoLink / NHL Link
Hampton SlukynskyG222005-07-02Yes179 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Henry ThrunD262001-03-12No211 Lbs6 ft2NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jacob Quillan (1 Way Contract)C252002-02-02Yes204 Lbs6 ft1NoNoNo2RFAPro & Farm1,750,000$1,750,000$1,750,000$NoLink / NHL Link
Jared DavidsonC252002-07-07No183 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Kenta IsogaiLW232004-08-28Yes177 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Logan MorrisonC252002-07-09No179 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Luca Del Bel BelluzC242003-11-10No185 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Rasmus KumpulainenC222005-08-08Yes191 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Scott MorrowD252002-11-01No210 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Tanner HoweLW222005-11-28Yes183 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Theo LindsteinD222005-01-05Yes197 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Zac FunkRW242003-07-20No210 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2623.81190 Lbs6 ft12.00958,077$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2026-09-192Bruins-Moose-
2 - 2026-09-2032Bears-Moose-
4 - 2026-09-2234Wolves-Moose-
5 - 2026-09-2364Moose-IceHogs-
7 - 2026-09-2580Moose-Phantoms-
8 - 2026-09-2692Hammers-Moose-
10 - 2026-09-28111Canucks-Moose-
11 - 2026-09-29128Moose-Reign-
13 - 2026-10-01144Moose-Marlies-
14 - 2026-10-02160Moose-Senators-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price5030
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
5 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,316,000$ 2,316,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 14 0$ 0$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
202056192903221174210-36288170111078108-302811120211196102-65117431148510069495119310642633639204554940913541804323.89%1904476.84%61039205650.54%1043210949.45%43892747.25%12898721360420732360
202182244404433244291-4741142300202123138-1541102104231121153-326924445369701090836425510834836851281980874419602544919.29%3336779.88%51403278750.34%1484303748.86%654132449.40%1896128520016241066522
20228242320340126824523412315012001371162141191702201131129295268483751280109867027160900888913283582578420163107524.19%3417578.01%31570304051.64%1618315351.32%691128653.73%1915129019676201060523
202383323606432276290-14411914031221511381342132203310125152-278827649276821093957926930910848911277782767318483057123.28%2955282.37%61476291650.62%1512294951.27%748140853.13%1915129820186321093538
202482274106233212256-444117170302212112014110240321191136-457721238359522060796421380664721718235071666118692384619.33%2736675.82%21260253249.76%1332272948.81%593123747.94%1940133619746041050521
2025823337054122212192411916022111211021941142103201100117-178422141263313090646122850744754766223565550018632745218.98%2173782.95%21299267448.58%1255253849.45%605122549.39%2000138719045951050532
Total Regular Season46717721902720121213951511-1162331001020108677317229234771170171265664789-1254641395253439298150511456389143140469446804798150614380377110910156133621.52%164934179.32%2480471600550.28%82441651549.92%3729740750.34%10957747111226349760532998
Playoff
2022734000002527-2321000001612441300000915-66254873000104102400827087273725616633721.21%25772.00%014525457.09%12627046.67%6311654.31%162112169538743
Total Playoff734000002527-2321000001612441300000915-66254873000104102400827087273725616633721.21%25772.00%014525457.09%12627046.67%6311654.31%162112169538743